Sediment in the canal has been a significant concern for civil engineers in recent years. Most irrigation and power canal water come from Himalayan rivers, which also keep a lot of silt. The vortex tube ejector extracts sediments from the channel. It is made in the channel, which is arranged across the entire bed of the channel. It is more efficient and economical than other alternative sediment extraction devices. This study employed Gradient Boosting Machine (GBM) approaches to predict vortex tube ejector ejection efficiency. Instances of as many as 100 were collected from laboratory-test on vortex tube ejectors. Among 100 instances, 75 instances chosen arbitrarily were used for calibrating, while the leftover 25 were used for validating. The input set comprises velocity (m/s), silt size (mm), concentration (ppm), and the proportion of slit thickness to diameter of the tube (t/d), while ejection efficiency (%) was used as an output. Two statistical performance measures were used to evaluate the effectiveness of the designs. The outcome suggests that the GBM model performs well. Sensitivity analyses indicate that the extraction ratio (Extro) is the primary input in estimating the trapping efficiency of the vortex ejector.